below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$174,000–$243,887
— the blue band above.
At the midpoint, this role pays about
$404k
versus about
$209k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
JOB TITLE: Distinguished Engineer - Wireless Infrastructure
Nvidia is seeking a Distinguished Engineer - Wireless Infrastructure to lead technology strategy for next-generation wireless infrastructure, focusing on AI-RAN and Agentic Core. You will drive the development of 6G radio access network functions, transforming the wireless core into an agentic AI-based packet core architecture. Responsibilities include rapid prototyping of algorithms for GPU accelerated platforms, driving system architecture, and developing applications for Integrated Sensing and Communications, Semantic Communications, and Physical AI at the Edge. You must possess deep expertise in communication theory, baseband signal processing, and 5G NR PHY/L1 and L2 mac-scheduler algorithms. Required skills include proficiency in Python, C/C++, and Matlab, alongside experience with AI/ML techniques applied to RAN pipelines and knowledge of 3GPP, AI-RAN, and O-RAN standards.
What does a Engineer earn in California?
Median $199500 from 103 postings across 31 companies.
Lead the technology strategy for next-generation wireless infrastructure across systems, platforms, and software architecture.
Apply AI/ML approaches to key functions and pipelines of 6G radio access networks.
Transform the wireless core into an agentic AI-based packet core architecture.
Drive rapid prototyping of new algorithms to establish the value of GPU-accelerated platforms.
Represent the company in industry standards and consortiums like 3GPP, AI-RAN, and O-RAN.
Develop new applications for Integrated Sensing and Communications (ISAC) and Semantic Communications.
Manage system architecture, requirements, design, and performance optimizations for the AI-for-RAN software stack.
Identify and develop new acceleration technologies for next-generation NVIDIA hardware.
What we're looking for
MS or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
20+ years of proven industry experience.
Deep technical knowledge of communication systems, theory, linear algebra, detection/estimation theory, baseband signal processing, and channel coding.
Expertise in architecting and developing RAN applications and system-level optimizations.
Proven experience in 5G NR PHY/L1 and L2 mac-scheduler algorithms design and development.
Expertise in architecting wireless core technologies, including accelerated user plane function (UPF).
Deep expertise in AI and Machine Learning, specifically applying AI techniques into RAN (L1, L2+) pipelines.
Strong hands-on experience with programming languages such as Python, C/C++, and Matlab.
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